The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Cerebellar Contributions to Reach Adaptation and Learning Sensory Consequences of Action
Open accessAbstract
When we use a novel tool, the motor commands may not produce the expected outcome. In healthy individuals, with practice the brain learns to alter the motor commands. This change depends critically on the cerebellum as damage to this structure impairs adaptation. However, it is unclear precisely what the cerebellum contributes to the process of adaptation in human motor learning. Is the cerebellum crucial for learning to associate motor commands with novel sensory consequences, called forward model, or is the cerebellum important for learning to associate sensory goals with novel motor commands, called inverse model? Here, we compared performance of cerebellar patients and healthy controls in a reaching task with a gradual perturbation schedule. This schedule allowed both groups to adapt their motor commands. Following training, we measured two kinds of behavior: in one case, people were presented with reach targets near the direction in which they had trained. The resulting generalization patterns of patients and controls were similar, suggesting comparable inverse models. In the second case, participants reached without a target and reported the location of their hand. In controls, the pattern of change in reported hand location was consistent with simulation results of a forward model that had learned to associate motor commands with new sensory consequences. In patients, this change was significantly smaller. Therefore, in our sample of patients, we observed that while adaptation of motor commands can take place despite cerebellar damage, cerebellar integrity appears critical for learning to predict visual sensory consequences of motor commands.
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Citations
Cites
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Error Correction, Sensory Prediction, and Adaptation in Motor Control
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Self-citationInteracting adaptive processes with different timescales underlie short-term motor learning
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“This suggests that in reach adaptation in cerebellar patients, there is a stronger than normal dependence on a fast process (Smith et al., 2006), a process that shares resources with the declarative system (Keisler and Shadmehr, 2010).”
BackgroundSensory prediction errors drive cerebellum-dependent adaptation of reaching
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Cited by
Explicit and implicit contributions to learning in a sensorimotor adaptation task
Taylor, J. A., Krakauer, J. W., & Ivry, R. B. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3619-13.2014 · Cited by 768
Explicit and Implicit Processes Constitute the Fast and Slow Processes of Sensorimotor Learning
McDougle, S. D., Bond, K. M., & Taylor, J. A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5061-14.2015 · Cited by 370
Model-Based and Model-Free Mechanisms of Human Motor Learning
Haith, A. M., & Krakauer, J. W. (2013) · Advances in Experimental Medicine and Biology · doi:10.1007/978-1-4614-5465-6_1 · Cited by 263
Diffusion tensor imaging for understanding brain development in early life
Qiu, A., Mori, S., & Miller, M. I. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015340 · Cited by 238
Taking aim at the cognitive side of learning in sensorimotor adaptation tasks
McDougle, S. D., Ivry, R. B., & Taylor, J. A. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.05.002 · Cited by 236
Metadata
- Authors
- Izawa, J., Criscimagna-Hemminger, S. E., & Shadmehr, R.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-03-21
- Volume
- 32
- Issue
- 12
- Pages
- 4230-4239
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2152611514
- Cited by
- 320
- References
- 40
- FWCI
- 12.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
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